Automated Classification of Skin Lesions Using Different Classifiers-Reference-Cited by-同舟云学术

Automated Classification of Skin Lesions Using Different Classifiers

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Engineering Technology and its Applications (IICETA)
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Author:

Al-Tawalbeh Joman¹,Alshargawi Baraa¹,Al-Daraghmeh Maya¹,Alquran Hiam¹,Mustafa Wan Azani²,Al-Dolaimy Firas³,Alkhayyat Ahmed⁴

Affiliation:

1. Jordan University of Science and Technology,Department of Biomedical Engineering,Irbid,Jordan,21163

2. Univerisiti Malaysia Perlis (UniMAP),Faculty of Electrical Engineering Technology,Arau,Perlis,Malaysia

3. Al-Zahraa University for Women,Karbala,Iraq

4. The Islamic University,Faculty of Engineering,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351190/10351191/10351388.pdf?arnumber=10351388

Reference25 articles.

1. Segmentation and Classification of Skin Lesions for Disease Diagnosis

2. Computer Aided Melanoma Skin Cancer Detection Using Image Processing

3. Seroreactivity to Cutaneous Human Papillomaviruses among Patients with Nonmelanoma Skin Cancer or Benign Skin Lesions

4. Current understanding of seborrheic keratosis: prevalence, etiology, clinical presentation, diagnosis, and management;Jackson;Journal of drugs in dermatology: JDD,2015

5. Seborrheic keratosis in the Korean males: causative role of sunlight

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